- Published on
Books I've Read
- Authors
- Name
- Rajat Kanti Bhattacharjee
- @simpuleguy
A running itinerary of the books I read — textbooks, technical deep dives, and the occasional non-technical read. Each entry has a cover, what the book covers, and where to find it. This page grows as I finish (or pick up) new books.
Current shelf
| Book | Author(s) | Status |
|---|---|---|
| Deep Learning: Foundations and Concepts | Christopher M. Bishop, Hugh Bishop | 📖 Reading |
Deep Learning: Foundations and Concepts
Authors: Christopher M. Bishop and Hugh Bishop Publisher: Springer, 2023 (2nd book by the PRML author) Status: 📖 Reading — paired with my CS7643 Deep Learning course
The spiritual successor to Pattern Recognition and Machine Learning, updated for the deep learning era. It covers the classical foundations (probability, inference, backpropagation) and the modern toolkit: convolutional networks, attention and transformers, graph neural networks, diffusion models, and Bayesian deep learning — plus practical guidance on training, regularization, and architecture choices.
Links:
- Official site — free online version
- Springer book page (PDF eBook)
- Solutions to exercises (free PDF)
The full text is free to read on the author's site, which makes it the easiest deep learning reference to keep open while working through the course material.